Exploring the transformative ideas of Ren Girard, this book delves into his influence on our understanding of God and the Bible. It highlights how Girard's theories challenge traditional interpretations and offer fresh insights into faith and morality. The relevance of these concepts is particularly significant in today's world, which faces existential threats. By examining Girard's perspective, readers are invited to rethink their beliefs and the implications for navigating contemporary crises.
Focusing on the major Greek philosophers from the sixth to the mid-fifth century BC, this account delves into the reconstruction of their views and the motivations behind their work. It emphasizes the historical context and philosophical significance of their ideas, offering insights into the early foundations of Western thought. The exploration of these thinkers highlights their lasting impact on philosophy and invites readers to appreciate the complexities of their contributions.
Exploring the insights of ancient philosophers, this book delves into their understanding of how human cognition intertwines with experiences of pleasure and pain. It examines various philosophical perspectives, highlighting the complexities of human emotions and thoughts in relation to well-being. Through historical context, the work reveals how these thinkers approached the balance between intellect and sensory experiences, offering a profound reflection on the nature of happiness and suffering in human life.
Exploring the philosophical school of Epicureanism, James Warren delves into their assertion that death holds no significance for the living. He critiques their arguments and juxtaposes them with contemporary perspectives on death as a potential harm. Additionally, Warren investigates the appeal of living without the fear of death and the implications of fully embracing Epicurean beliefs. The book offers a thought-provoking examination of mortality and its impact on the human experience.
Focusing on the development of the Epicurean philosophical system, this book delves into its historical roots during the fifth and fourth centuries BC. It examines key figures and concepts that shaped Epicurean thought, offering insights into how these ideas emerged and evolved in ancient philosophy. Through detailed analysis, the work provides a comprehensive understanding of the foundational principles that underpin Epicureanism and its significance in the broader context of philosophical history.
Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. What's inside: Introduction to big data systems; Real-time processing of web-scale data; Tools like Hadoop, Cassandra, and Storm; Extensions to traditional database skills. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. - Back cover
Obsługa aplikacji, kt�re operują na ogromnych zbiorach danych, czyli na
przykład portali społecznościowych, przekracza możliwości zwykłych relacyjnych
baz.Praca ze złożonymi zbiorami danych wymaga architektury obejmującej
wielomaszynowe klastry, dzięki kt�rym możliwe jest przechowywanie i
przesyłanie informacji praktycznie dowolnej wielkości.Architektura taka
powinna dodatkowo być prosta w użyciu, niezawodna i skalowalna.
Die Verarbeitung großer Datenmengen ist für Unternehmen unerlässlich, da herkömmliche Datenbanksysteme oft nicht mehr ausreichen. Big-Data-Systeme erfordern spezielle Architekturen, die in der Lage sind, Daten nahezu beliebigen Umfangs zu speichern und zu verarbeiten, was grundlegende Anforderungen mit sich bringt, die vielen Entwicklern unbekannt sind.
Die Autoren zeigen, wie man solche Systeme mit der Lambda-Architektur einrichtet, einem skalierbaren und leicht verständlichen Ansatz, der auch für kleine Teams geeignet ist. Anhand eines realistischen Beispiels werden die Grundlagen von Big-Data-Systemen praktisch umgesetzt. Dabei werden Technologien wie Hadoop, Storm und NoSQL-Datenbanken eingeführt.
Das Buch setzt keine Vorkenntnisse über Datenanalysetools oder NoSQL voraus, jedoch sind grundlegende Erfahrungen mit herkömmlichen Datenbanken von Vorteil.
Inhaltlich werden Themen behandelt wie Echtzeitverarbeitung großer Datenmengen, das Batch-Layer mit Datenmodellierung und Skalierbarkeit, sowie die Implementierung eines Graphenschemas mit Apache Thrift. Weitere Schwerpunkte sind MapReduce, JCascalog für Pipe-Diagramme, das Serving-Layer mit ElephantDB und die Speed-Layer für Echtzeit-Views. Zudem wird die Nutzung von Hadoop, Apache Cassandra, Apache Kafka und Apache Storm sowie die Streamverarbeitung mit Trident behandelt.
